Courses Azure Data Scientist Hyperparameter Tuning Hyperparameter Search Space and Sampling This is lesson 2 of 4 in this module Course 86% complete Prev Next Skip Hyperparameter Search Space and Sampling Premium Content Sign in with your account or sign up to access this lesson. Sign In Sign Up The lesson covers defining discrete and continuous hyperparameter search spaces using distributions, and selecting sampling methods: grid, random, or Bayesian. Previous Module Real-Time Inferencing This Module Hyperparameter Tuning Introduction to Hyperparameter Tuning Hyperparameter Search Space and Sampling Hyperdrive Configuration Automated Machine Learning Copy
